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This is a fast and concise implementation of Faster R-CNN with TensorFlow2.
A natural language interface for computers
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C , C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Magnificent app which corrects your previous console command.
Web interface for browsing, search and filtering recent arxiv submissions
Most popular metrics used to evaluate object detection algorithms.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Deep Learning Specialization by Andrew Ng on Coursera.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
AiLearning：数据分析 机器学习实战 线性代数 PyTorch NLTK TF2
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!